Hyun-Jin Bae

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyun-Jin Bae trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Xiao Han (in Radiology, Nuclear Medicine and Imaging)
  2. Thomas Brox (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Olaf Ronneberger (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Hyun-Jin Bae's perspective

Ordered by how strongly the researchers Hyun-Jin Bae trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Extracting and composing robust features with denoising autoencoders
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Curriculum learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers